WO2023155376A1 - Procédé, appareil et dispositif de distribution de réseau d'énergie distribuée basés sur un stockage de charge de réseau source, et support - Google Patents

Procédé, appareil et dispositif de distribution de réseau d'énergie distribuée basés sur un stockage de charge de réseau source, et support Download PDF

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WO2023155376A1
WO2023155376A1 PCT/CN2022/106597 CN2022106597W WO2023155376A1 WO 2023155376 A1 WO2023155376 A1 WO 2023155376A1 CN 2022106597 W CN2022106597 W CN 2022106597W WO 2023155376 A1 WO2023155376 A1 WO 2023155376A1
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distribution network
load
distributed
model
source
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PCT/CN2022/106597
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Chinese (zh)
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张聪
宋丹阳
庞海天
樊小毅
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深圳江行联加智能科技有限公司
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00—Integration of renewable energy sources in buildings
    • Y02B10/10—Photovoltaic [PV]

Definitions

  • the present application relates to the field of source-network-load-storage coordinated distribution network, and in particular to a method, device, equipment and medium for a distributed energy distribution network based on source-network-load-storage.
  • DG Distributed Generators
  • the main purpose of this application is to provide a distributed energy distribution method based on source-grid-load-storage, which aims to solve the technical problems that affect the economy and safety of system operation after distributed power is connected to the grid system.
  • this application provides a distributed energy distribution network based on source network, load and storage.
  • the distributed energy distribution method based on source network, load and storage includes the following steps:
  • a distribution network mode under the minimum distribution network cost is generated to distribute the target distribution network system connected to distributed energy resources.
  • the present application also provides a distributed energy distribution network device based on source network, load and storage.
  • the distributed energy distribution device based on source network, load and storage is applied to the distribution network system.
  • Load-storage distributed energy distribution network devices include:
  • a construction module configured to receive line information of the target distribution network system, and construct a distributed distribution network model according to the line information
  • a loading module configured to receive load information and power supply information connected to the target distribution network system, construct a load model according to the load information, construct a power supply model according to the power supply information, and combine the load model and The power supply model is loaded into the distributed distribution network model;
  • the output module is used to generate the distribution network mode under the minimum distribution network cost according to the minimum distribution network cost of the distributed distribution network model, so as to distribute the target distribution network system connected to the distributed energy source. net.
  • the present application also provides a distributed energy distribution network equipment based on source network load storage.
  • the distributed energy distribution network equipment based on source network load storage includes: a memory, a processor, and a A source-network-load-storage distributed energy distribution network program that can run on the processor.
  • the source-network-load-storage distributed energy distribution program is executed by the processor, the above-mentioned source-network-based The steps of the load-storage distributed energy distribution network method.
  • the present application also provides a readable storage medium, the readable storage medium stores a distributed energy distribution network program based on source network load storage, and the distributed energy distribution network program based on source network load storage
  • the network program is executed by the processor, the steps of the above-mentioned source-network-load-storage distributed energy distribution network method are realized.
  • a distributed energy distribution network method based on source-network-load-storage proposed in the embodiment of this application by obtaining line information, load information and power supply information in the target distribution network system, constructs an equivalent distributed distribution network of the target distribution network system
  • the model takes network loss power as the objective function, uses the distribution network system's power flow equation constraints, distributed power supply constraints, line node voltage constraints, line node current constraints, and distribution network radiation constraints as the constraints of the objective function, and uses artificial intelligence algorithms to solve
  • the distribution network mode with the minimum value of the objective function is the optimal distribution network mode.
  • the target distribution network system is operated with segmental switches and tie switches to maintain the economical and economical operation of the power grid system after accessing distributed power sources. stability.
  • Fig. 1 is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present application
  • Fig. 2 is a schematic flow diagram of the first embodiment of the distributed energy distribution network method based on the source network load storage of the present application;
  • Fig. 3 is a schematic flow diagram of the second embodiment of the distributed energy distribution method based on the source-network-load-storage of the present application;
  • Fig. 4 is a system diagram of the ieee-33 node standard distribution network in the application based on the source network load storage distributed energy distribution network method.
  • the main solution of the embodiment of the present application is: by obtaining the line information, load information and power supply information in the target distribution network system, constructing an equivalent distributed distribution network model of the target distribution network system, taking the network loss power as the objective function, Taking the power flow equation constraints of the distribution network system, distributed power supply constraints, line node voltage constraints, line node current constraints, and distribution network radiation constraints as the constraints of the objective function, the distribution network method that uses artificial intelligence algorithms to solve the minimum value of the objective function is the most Best distribution network mode, according to the best distribution network mode, perform segment switch and tie switch operation on the target distribution network system.
  • DG Distributed Generators
  • This application provides a solution to maintain the economy and stability of the power grid system operation after accessing distributed power sources through distribution network reconfiguration.
  • FIG. 1 is a schematic diagram of a device structure of a hardware operating environment involved in the solution of the embodiment of the present application.
  • the device in this embodiment of the application may be a server, or an electronic terminal device such as a PC that has data reception, data processing, and data output.
  • the device may include: a processor 1001 , such as a CPU, a network interface 1004 , a user interface 1003 , a memory 1005 , and a communication bus 1002 .
  • the communication bus 1002 is used to realize connection and communication between these components.
  • the user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface.
  • the network interface 1004 may include a standard wired interface and a wireless interface (such as a WI-FI interface).
  • the memory 1005 can be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory.
  • the memory 1005 may also be a storage device independent of the aforementioned processor 1001 .
  • the device may also include a camera, an RF (Radio Frequency, radio frequency) circuit, a sensor, an audio circuit, a WiFi module, and the like.
  • sensors such as light sensors, motion sensors and other sensors.
  • the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display screen according to the brightness of the ambient light, and the proximity sensor may turn off the display screen and/or backlight.
  • the gravitational acceleration sensor can detect the magnitude of acceleration in various directions (generally three axes), and can detect the magnitude and direction of gravity when it is stationary, and can be used for applications that recognize the posture of mobile terminals (such as horizontal and vertical screen switching, Related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tap), etc.; of course, the mobile terminal can also be equipped with other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared sensor, etc. No longer.
  • FIG. 1 does not constitute a limitation to the device, and may include more or less components than shown in the figure, or combine some components, or arrange different components.
  • the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a distributed energy distribution network program based on source, network, load, and storage.
  • the network interface 1004 is mainly used to connect the background server and carry out data communication with the background server;
  • the user interface 1003 is mainly used to connect the client (client) and carry out data communication with the client;
  • the processor 1001 can be used to call the source-grid-load-storage distributed energy distribution network program stored in the memory 1005, and perform the following operations:
  • a distribution network mode under the minimum distribution network cost is generated to distribute the target distribution network system connected to distributed energy resources.
  • the processor 1001 can call the source-grid-load-storage based distributed energy distribution network program stored in the memory 1005, and also perform the following operations:
  • the step of generating a distribution network mode under the minimum distribution network cost according to the minimum distribution network cost of the distributed distribution network model, so as to distribute the target distribution network system connected to distributed energy resources include:
  • the distribution network mode of the distributed distribution network model is used as the minimum cost distribution network mode
  • the target distribution network system is distributed according to the minimum cost distribution method.
  • the processor 1001 can call the source-grid-load-storage based distributed energy distribution network program stored in the memory 1005, and also perform the following operations:
  • the step of using the distribution network mode of the distributed distribution network model as the minimum cost distribution network mode includes:
  • the distribution network mode of the distributed distribution network model is used as the minimum cost distribution network mode.
  • the processor 1001 can call the source-grid-load-storage based distributed energy distribution network program stored in the memory 1005, and also perform the following operations:
  • the constraint information includes at least one of power flow equation constraints, distributed power supply constraints, line node voltage constraints, line node current constraints, and distribution network radiation constraints, and receiving the constraint information of the target distribution network system, according to the
  • the step of generating a constraint function from constraint information includes at least one of the following:
  • the distribution network radiation constraint is received, and a distribution network radiation constraint function is generated according to the distribution network radiation constraint.
  • the processor 1001 can call the source-grid-load-storage based distributed energy distribution network program stored in the memory 1005, and also perform the following operations:
  • the equivalent load demand of the corresponding stage is obtained, and after the power output of each stage is unified, the equivalent power output of the corresponding stage is obtained;
  • the equivalent load demand of each stage is taken as the equivalent output result of the corresponding stage of the load model in the distributed distribution network model, and the equivalent power supply output of each stage is taken as the equivalent output result of the power supply model in the distributed distribution network model.
  • the equivalent output results of the corresponding stages in the distributed distribution network model are taken as the equivalent load demand of each stage.
  • the processor 1001 can call the source-grid-load-storage based distributed energy distribution network program stored in the memory 1005, and also perform the following operations:
  • the step of generating a distribution network mode under the minimum distribution network cost according to the minimum distribution network cost of the distributed distribution network model, so as to distribute the target distribution network system connected to distributed energy resources also includes:
  • the distribution network mode under the minimum distribution network cost of each stage is generated
  • the loss reduction income after the distribution network reconstruction of each stage is generated
  • the reconstruction cost after the distribution network reconfiguration in each stage is generated
  • the distribution network mode after the reconstruction is used as the optimal distribution network mode of the target distribution network system
  • the distribution network mode before reconstruction is taken as the optimal network distribution mode of the target distribution network system.
  • the processor 1001 can call the source-grid-load-storage based distributed energy distribution network program stored in the memory 1005, and also perform the following operations:
  • the steps of receiving the line information of the target distribution network system and constructing a distributed distribution network model according to the line information include:
  • the line information of the target distribution network system obtain the electrical components in the target distribution network system and the connection relationship corresponding to the electrical components;
  • the distributed distribution network model of the target distribution network system is constructed.
  • this application is based on the first embodiment of the source-network-load-storage distributed energy distribution network method, and the source-network-load-storage distributed energy distribution network method includes:
  • Step S10 receiving line information of the target distribution network system, and constructing a distributed distribution network model according to the line information;
  • the grid structure of the existing power grid is mainly adjusted through branch switches and tie switches so as to achieve the effect of reducing network loss and improving the economical operation level.
  • the electrical components in the target distribution network system and the connection relationship corresponding to the electrical components are obtained; based on the electrical components and the connection relationship, the target The distributed distribution network model of the distribution network system.
  • the line-related information of the target distribution network system will be used to construct a basic distribution network topology model (that is, an equivalent distributed distribution network model) including electrical components and connection relationships between electrical components.
  • the line information includes each electrical component in the target distribution network system and the connection relationship between each electrical component, and then generates a distribution network topology diagram composed of lines and nodes, where the line indicates that the circuit breaker has the function of opening and closing the circuit
  • the switchgear, the node represents the electrical component
  • the electrical component includes: busbar, generator, synchronous motor, load point and other components.
  • the ieee (Institute of Electrical and Electronics Engineers, Institute of Electrical and Electronics Engineers)-33 node standard distribution network system is used for illustration, as shown in Figure 4, the system has a total of 33 nodes, 32 initial closed branches and 5 contact lines, and the solid line between nodes in Fig. 4 is the initial closed branch, and the dotted line between nodes is the contact line.
  • Step S20 receiving the load information connected to the target distribution network system and the connected power source information, constructing a load model according to the load information, constructing a power source model according to the power source information, and combining the load model with the The power supply model is loaded into the distributed distribution network model;
  • the solution in this embodiment is mainly aimed at the problem that the distributed power supply will affect the system economy and stability after it is connected to the existing power grid. Therefore, the objects of the power supply information are mainly those connected to the target distribution network system.
  • Distributed power generation where distributed power generation can include: renewable energy wind power generation, photovoltaic power generation, etc., as well as fuel cells or small gas turbines using fossil fuels. Compared with large thermal power plants and large hydropower plants, this type of distributed power generation has the characteristics of small capacity, intermittent, randomness or volatility, which cause impact on the operation of the power grid.
  • the above power information includes the total installed capacity of distributed power sources such as photovoltaic or wind power connected to the target distribution network system, the type of distributed power generation equipment, the access point connected to the target distribution network system, and the history of the target distribution network system. Natural condition information such as light and wind speed and the output of distributed power sources under natural conditions.
  • the above load information includes the historical power consumption of the target distribution network system and the characteristics of power consumption, such as the target distribution network system. Changes in ambient temperature cause load changes, or changes in loads caused by people's activities.
  • the above-mentioned construction of the power supply model based on the power supply information is to generate a mathematical model of the output of wind power and photovoltaic power sources according to the distributed power supply equipment model and the total installed capacity, and based on the natural condition information such as the historical illumination and wind speed of the target distribution network system and The output of each distributed power source corresponding to natural conditions uses big data analysis to correct the output mathematical model of each power source above.
  • the load model constructed based on the load information is based on the historical power consumption of the target distribution network system Big data analysis is used to generate a load model, and the above power source model and load model are used to predict the power output and load demand of the target distribution network system.
  • the distributed distribution network model constructed by the target distribution network system is an ieee-33 node model
  • the above power supply model and load model are loaded to the above ieee-33 node standard according to the access points of the power supply and load in the target distribution network system
  • the power supply model and the load model respectively output the power output and load demand predicted by the target distribution network system, so that the operation of the distributed distribution network model is consistent with the target distribution network system.
  • Step S30 according to the minimum distribution network cost of the distributed distribution network model, generate a distribution network mode under the minimum distribution network cost, so as to distribute the target distribution network system connected to distributed energy resources.
  • an objective function is constructed with the minimum distribution network cost of the distributed distribution network model as the goal; when the function value of the objective function is the minimum value, the distribution network mode of the distributed distribution network model is used as The minimum cost network distribution method: the target distribution network system is distributed according to the minimum cost distribution network method.
  • the above-mentioned aiming at the minimum distribution network cost of the distributed distribution network model is specifically based on the output predicted by the power supply model.
  • the above objective function is the network loss function, and the specific network loss function formula is:
  • P loss is the active power loss of the distribution network system
  • t is the branch label
  • P t is the active power injected by the network to the head-end node of the t-branch
  • Q t is the reactive power injected by the network to the head-end node of the t-branch
  • U t is the voltage amplitude of the node at the head end of branch t
  • R t is the resistance of branch t
  • N is the number of branches of the distributed distribution network model (if it is the standard distribution network with ieee-33 nodes above system, then N is 32).
  • the step of using the distribution network mode of the distributed distribution network model when the objective function is at a minimum value as the minimum cost distribution network mode includes receiving the constraint information of the target distribution network system, and generating a constraint function according to the constraint information ;
  • the distribution network mode of the distributed distribution network model as the minimum cost distribution network mode.
  • the constraint information includes at least one of power flow equation constraints, distributed power supply constraints, line node voltage constraints, line node current constraints, and distribution network radiation constraints; and generating a constraint function according to the constraint information includes at least receiving the power flow equation constraints, and generate a power flow equation constraint function according to the power flow equation constraints; and/or, receive the distributed power supply constraints, and generate a distributed power supply constraint function according to the distributed power supply constraints; and/or, receive the line node voltage constraints, and generate a line node voltage constraint function according to the line node voltage constraints; and/or receive the line node current constraints, and generate a line node current constraint function according to the line node current constraints; and/or , receiving the distribution network radiation constraint, and generating a distribution network radiation constraint function according to the distribution network radiation constraint.
  • t is the branch label; P t is the active power injected by the network to the head-end node of the t-branch; PDGt is the active power injected by the distributed power supply DG to the head-end node of the t-branch; Q DGt is the distributed The reactive power injected by the power source DG to the head node of the t branch; P Lt is the active load power of the head node of the t branch; Q Lt is the reactive load power of the head node of the t branch; U t1 is the head node of the t branch terminal node voltage amplitude; U t2 is the terminal node voltage amplitude of branch t; G t is the conductance between two nodes of branch t; B t is the susceptance between two nodes of branch t ; Phase angle difference between nodes.
  • P DGtmin and P DGtmax are the lower limit and upper limit of the capacity of the distributed power generation DG respectively;
  • PDGt is the active power injected by the distributed power generation DG to the head-end node of the t branch;
  • U tnmin and U tnmax are respectively the n of the t branch
  • U tn is the voltage amplitude of node n of the t branch;
  • g i is the i-th network topology structure after reconstruction
  • G is the network set that satisfies the radial topology structure.
  • an artificial intelligence algorithm is used to solve the distribution network operation model with the minimum network loss, wherein the artificial intelligence algorithm may include: artificial neural network algorithm, simulated annealing algorithm, tabu search algorithm, ant colony algorithm, particle swarm optimization Algorithm, genetic algorithm, differential evolution algorithm, etc., to solve the network topology corresponding to the minimum value of the above objective function is the optimal distribution network operation mode of the target network.
  • the equivalent distributed distribution network model of the target distribution network system is constructed by obtaining the line information, load information and power supply information in the target distribution network system, and the network loss power is used as the objective function , taking the distribution network system's power flow equation constraints, distributed power supply constraints, line node voltage constraints, line node current constraints, and distribution network radiation constraints as the constraints of the objective function, the distribution network method that uses the artificial intelligence algorithm to solve the minimum value of the objective function is The optimal distribution network mode, the target distribution network system is operated according to the optimal distribution network mode for segment switches and contact switches, and the economy and stability of the power grid system operation after accessing the distributed power supply are maintained.
  • this application is based on the second embodiment of the source-network-load-storage distributed energy distribution network method, and the source-network-load-storage distributed energy distribution network method includes:
  • Step S100 receiving line information of the target distribution network system, and constructing a distributed distribution network model according to the line information;
  • the electrical components in the target distribution network system and the connection relationship corresponding to the electrical components are obtained; based on the electrical components and the connection relationship, the target distribution network is constructed The distributed distribution network model of the system.
  • the electrical components in the target distribution network system and the connection relationship between the electrical components are generated into a distribution network topology diagram composed of lines and nodes, where the lines represent circuit breakers and other switching devices that have the function of opening and breaking circuits, and the nodes represent Electrical components. It can be understood that in this embodiment, the target distribution network system is modeled to facilitate generation of an optimal distribution network mode.
  • Step S210 receiving load information and power supply information connected to the target distribution network system, constructing a load model according to the load information, and constructing a power supply model according to the power supply information;
  • the above-mentioned load model and power supply model can predict the load of the target distribution network and the output of distributed power sources based on the prediction results of the meteorological system for natural conditions such as future sunlight and wind speed, and generate time-based Variable load and power output maps, such as predicting the trend of wind power and photovoltaic power generation connected to the target distribution network system in the next ten days or one month according to seasonal changes, or predicting the future according to the historical load growth rate of the target distribution network Ten-day or one-month load conditions.
  • Step S220 discretize the first output result of the load model and the second output result of the power supply model according to a preset division rule; generate load demands of multiple stages according to the discretized first output result, According to the second output result after discretization, multiple stages of power output are generated; the load demand of each stage is unified to obtain the equivalent load demand of the corresponding stage, and the power output of each stage is unified to obtain the corresponding Stage power output;
  • the load model or power model it has large seasonal variability. For example, the sunshine time in winter is shorter than that in summer, so the output phase of the photovoltaic power generation part in the power model will decrease in winter; while in the load model, it is usually divided into Industrial load and residential load, seasonal changes have less impact on industrial load, while residential load accounts for a small proportion of the total load in the load model, and there are heating and cooling electricity demands in winter and summer respectively, so the load in winter and summer
  • the load change predicted by the model is small, so the change of the distributed power supply and the load model is not coordinated, which will cause an impact on the operation of the power grid.
  • the first output result of the load model (that is, the prediction result) and the second output result of the power model are discretized according to the preset division rules, that is, the load and power supply conditions of the target distribution network system are considered in stages, and each The network frame structure of the stage is adjusted.
  • the preset division rules can divide the load and power output according to different seasons. Similarly, it can also be divided by month, fifteen days or by day. In addition, it can also be divided by the degree of change, such as predicting load demand or When the power output change is greater than the preset threshold, it is used as a division point of a stage. When the change is greater than the preset threshold again, it is used as a division point of a stage again.
  • the division logic can be selected according to the actual situation, and the power output and load of each stage are unified.
  • the load model and the power output of the load demand predicted by the power model in the next year are divided into four stages by quarter.
  • the model and the prediction results of the load model calculate the average load and average power output of each stage, and take the average load and average power output of each stage as the unified result of the load demand and power output of the corresponding stage (that is, the equivalent output result).
  • the load and power output are changing all the time. It is obviously unrealistic to adapt the distribution network mode to follow the load and power output all the time. High-frequency distribution network reconfiguration will Therefore, in this embodiment, the load demand and power output are staged according to their changes, and the time span of each stage can be different, and the staged actually determines the frequency of distribution network reconfiguration, and After staged load demand and power output, it is easier to weigh the benefits and costs of distribution network reconstruction.
  • Step S230 using the equivalent load demand of each stage as the equivalent output result of the load model in the corresponding stage of the distributed distribution network model, and using the equivalent power supply output of each stage as the power supply The equivalent output result of the model in the corresponding stage of the distributed distribution network model;
  • the one-year forecast results of the load model and the power supply model will be divided into four stages based on quarters.
  • the first stage will include the load demand and power output forecasted by the load model and the power supply model for three months, and the three-month
  • the average load demand and average power supply output of the first stage are respectively the equivalent output results of the load model and power supply model to the distributed distribution network model.
  • the average load demand and the average power output in the first stage are output to the distributed distribution network model. load demand output.
  • each distributed power source and load output to the node with the unified power output and load demand of each stage are distributed.
  • Step S310 according to the minimum distribution network cost of the distributed distribution network model in each stage, generate the distribution network mode under the minimum distribution network cost in each stage;
  • the calculation of the minimum distribution network cost when the distributed distribution network model is under load demand and power output in each stage is carried out, and the network loss function of each stage is also constructed Calculate the minimum value of the network loss function based on its constraint function, and the network distribution mode when the network loss function is the minimum value is the distribution network mode corresponding to the minimum network loss in each quarter.
  • Step S320 according to the distribution network mode under the minimum distribution network cost in each stage, generate the loss reduction income after the distribution network reconstruction in each stage;
  • the minimum network loss of each stage is generated respectively, which is the corresponding distribution network mode.
  • P loss is the network loss function (objective function)
  • the distribution network mode when P loss is the minimum value is It is the distribution network mode with the minimum network loss in the current stage.
  • the minimum network loss in each stage is set as Ploss1, Ploss2, Ploss3, and Ploss4.
  • the unit is MW.
  • the unified load demand and power output of each stage are respectively the first load demand and the first power output , the second load demand and the second power output, the third load demand and the third power output, the fourth load demand and the fourth power output, then the method of calculating the loss reduction income after the second stage distribution network reconstruction is:
  • the product of the duration of the second stage and Ploss2 is the network loss after the reconstruction of the second stage, and the distributed distribution network model under the condition of the second load demand and the second power output is calculated in the first stage of the minimum network loss distribution network operation. Then multiply the network loss power at the second stage by the duration of the second stage to obtain the unreconfigured network loss, and subtract the reconfigured network loss from the unreconfigured network loss to obtain the loss reduction benefit after the second stage distribution network reconfiguration.
  • the loss reduction benefits of the first, third and fourth stages can be calculated and will not be described here. It can be understood that, in the actual application process, when the prediction results of the load model and the power supply model are divided into stages, it is usually not necessary to divide each stage at one time. For example, if it is currently in the first stage, it is only necessary to The second stage is divided and the load demand and power supply output of the second stage are predicted and unified. It is understandable that the above load model and power supply need to be predicted based on the predicted natural conditions. When the time span is too long, the predicted natural The lower conditional accuracy also reduces the prediction accuracy of the load model and the source model.
  • Step S330 according to the distribution network mode before and after the distribution network reconfiguration at each stage, the reconstruction cost after the distribution network reconfiguration at each stage is generated;
  • the operation cost that is, the reconfiguration cost
  • the calculation formula of reconstruction cost is:
  • S loss is the cost of reconstruction operation
  • C t is the cost coefficient of a single switching operation of branch t
  • ⁇ t1 is the state of branch t before reconstruction
  • ⁇ t2 is the state of branch t after reconstruction.
  • the C t is generally an empirical formula and the value ranges of ⁇ t1 and ⁇ t2 are 0 and 1, where 0 and 1 are the open state and the closed state, respectively. Whether the branch is in operation can be judged by the status before and after the same branch. If the operation is performed, the value is 1 and multiplied by the single operation cost coefficient to obtain the cost of one operation. Add all operation costs to obtain the total operation cost.
  • Step S400 judging the optimal distribution mode of the target distribution network system according to the loss reduction benefit and the reconstruction cost.
  • the loss reduction benefit is greater than the reconstruction cost: if the loss reduction benefit is greater than the reconstruction cost, the reconfigured distribution network mode is used as the optimal distribution network of the target grid system mode; if the loss reduction benefit is less than or equal to the reconstruction cost, the distribution network mode before reconstruction is taken as the optimal network distribution mode of the target grid system.
  • judging the optimal distribution mode of the target distribution network system is the distribution mode with the maximum benefit after comprehensive loss reduction benefit and reconstruction cost.
  • the reconstructed distribution network mode is regarded as the best operation mode. If the loss reduction benefit brought by the reconstruction is less than or equal to the reconstruction cost, the current distribution network mode will be kept running as the optimal distribution network mode.
  • the load demand and power output predicted by the load model and power model are processed in stages, Then build a distribution network operation model that is suitable for each stage, and at the same time, add the operating cost factors generated during the distribution network reconfiguration between different stages to the judgment process of the optimal distribution network mode, so as to avoid operating problems caused by reconfiguration. Too many reconfiguration operation costs are greater than the benefits of reducing network losses, which makes the total distribution network reconfiguration cost increase and reduces the operating economy of the target distribution network system.
  • this embodiment also provides a source-network-load-storage distributed energy distribution network device.
  • the source-network-load-storage distributed energy distribution network device is applied to the distribution network system.
  • Energy distribution network devices include:
  • a construction module configured to receive line information of the target distribution network system, and construct a distributed distribution network model according to the line information
  • a loading module configured to receive load information and power supply information connected to the target distribution network system, construct a load model according to the load information, construct a power supply model according to the power supply information, and combine the load model and The power supply model is loaded into the distributed distribution network model;
  • the output module is used to generate the distribution network mode under the minimum distribution network cost according to the minimum distribution network cost of the distributed distribution network model, so as to distribute the target distribution network system connected to the distributed energy source. net.
  • the output module is also used for:
  • the distribution network mode of the distributed distribution network model is used as the minimum cost distribution network mode
  • the target distribution network system is distributed according to the minimum cost distribution method.
  • the output module is also used for:
  • the distribution network mode of the distributed distribution network model is used as the minimum cost distribution network mode.
  • the constraint information includes at least one of power flow equation constraints, distributed power supply constraints, line node voltage constraints, line node current constraints, and distribution network radiation constraints, and the output module is also used for:
  • the distribution network radiation constraint is received, and a distribution network radiation constraint function is generated according to the distribution network radiation constraint.
  • the output module is also used for:
  • the equivalent load demand of the corresponding stage is obtained, and after the power output of each stage is unified, the equivalent power output of the corresponding stage is obtained;
  • the equivalent load demand of each stage is taken as the equivalent output result of the corresponding stage of the load model in the distributed distribution network model, and the equivalent power supply output of each stage is taken as the equivalent output result of the power supply model in the distributed distribution network model.
  • the equivalent output results of the corresponding stages in the distributed distribution network model are taken as the equivalent load demand of each stage.
  • the output module is also used for:
  • the distribution network mode under the minimum distribution network cost of each stage is generated
  • the loss reduction income after the distribution network reconstruction of each stage is generated
  • the reconstruction cost after the distribution network reconfiguration in each stage is generated
  • the distribution network mode after the reconstruction is used as the optimal distribution network mode of the target distribution network system
  • the distribution network mode before reconstruction is taken as the optimal network distribution mode of the target distribution network system.
  • building blocks are also used for:
  • the line information of the target distribution network system obtain the electrical components in the target distribution network system and the connection relationship corresponding to the electrical components;
  • the distributed distribution network model of the target distribution network system is constructed.
  • the source-network-load-storage distributed energy distribution network device provided by this application adopts the source-network-load-storage distributed energy distribution network method in the above-mentioned embodiments to solve the problem of system operation economy and economical problems after the distributed power supply is connected to the grid system.
  • Technical issues of security Compared with the prior art, the beneficial effect of the source-network-load-storage distributed energy distribution network device provided by the embodiment of the present application is the same as the beneficial effect of the source-network-load-storage distributed energy distribution network method provided by the above embodiment, and Other technical features of the source-grid-load-storage distributed energy distribution network device are the same as those disclosed in the methods of the above-mentioned embodiments, and will not be repeated here.
  • this embodiment also provides a source-grid-load-storage distributed energy distribution network device based on the source-network load-storage distributed energy distribution network device, which includes: a memory, a processor, and a memory stored in the memory and can be The source-network-load-storage distributed energy distribution network program running on the processor, when the source-network-load-storage distributed energy distribution network program is executed by the processor, realizes the above-mentioned source-network-load-storage distributed energy distribution program. Steps of energy distribution grid method.
  • the specific implementation of the source-network-load-storage distributed energy distribution network equipment in this application is basically the same as the above-mentioned embodiments of the source-network-load-storage distributed energy distribution network method, and will not be repeated here.
  • this embodiment also provides a readable storage medium, on which is stored a distributed energy distribution network program based on source network, load and storage, and the distributed energy distribution program based on source network, load and storage is processed When the controller is executed, the steps of the above-mentioned source-grid-load-storage distributed energy distribution network method are realized.
  • the term “comprises”, “comprises” or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or system comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or system. Without further limitations, an element defined by the phrase “comprising a " does not preclude the presence of additional identical elements in the process, method, article or system comprising that element.
  • the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation.
  • the technical solution of the present application can be embodied in the form of a software product in essence or in other words, the part that contributes to the prior art, and the computer software product is stored in a storage medium (such as ROM/RAM) , magnetic disk, optical disk), including several instructions to enable a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present application.

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Abstract

La présente demande divulgue un procédé, un appareil et un dispositif de distribution de réseau d'énergie distribuée basés sur un stockage de charge de réseau source, et un support. Le procédé de distribution de réseau d'énergie distribuée basé sur un stockage de charge de réseau source consiste à : acquérir des informations de ligne, des informations de charge et des informations de source d'énergie dans un système de réseau de distribution cible, et construire un modèle de réseau de distribution d'énergie distribuée équivalent du système de réseau de distribution cible ; prendre une puissance de perte de réseau en tant que fonction objective, et prendre une contrainte d'équation de flux d'énergie, une contrainte de source d'énergie distribuée, une contrainte de tension de nœud de ligne, une contrainte de courant de nœud de ligne et une contrainte de rayonnement de distribution de réseau du système de réseau de distribution en tant que conditions de contrainte de la fonction objective ; utiliser un algorithme d'intelligence artificielle pour résoudre un mode de distribution de réseau pour la valeur minimale de la fonction objective, c'est-à-dire un mode de distribution de réseau optimal ; et faire fonctionner un commutateur de section et un commutateur d'interconnexion du système de réseau de distribution cible selon le mode de distribution de réseau optimal, de façon à maintenir l'économie et la stabilité de fonctionnement d'un système de réseau électrique après la connexion d'une source d'énergie distribuée.
PCT/CN2022/106597 2022-02-21 2022-07-20 Procédé, appareil et dispositif de distribution de réseau d'énergie distribuée basés sur un stockage de charge de réseau source, et support WO2023155376A1 (fr)

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